DeepSeek V3.2 vs Gemini 2.5 Flash
DeepSeek V3.2 (2025) and Gemini 2.5 Flash (2025) are general-purpose language models from DeepSeek and Google DeepMind. DeepSeek V3.2 ships a 160k-token context window, while Gemini 2.5 Flash ships a 1m-token context window. On Google-Proof Q&A, DeepSeek V3.2 leads by 1.2 pts. On pricing, DeepSeek V3.2 costs $0.25/1M input tokens versus $0.30/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Gemini 2.5 Flash fits 6x more tokens; pick it for long-context work and DeepSeek V3.2 for tighter calls.
Decision scorecard
Local evidence first| Signal | DeepSeek V3.2 | Gemini 2.5 Flash |
|---|---|---|
| Best for | provider-routed production | multimodal apps, tool-calling agents, and long-context analysis |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 160k | 1m |
| Cheapest output | $0.38/1M tokens | $2.50/1M tokens |
| Provider routes | 7 tracked | 6 tracked |
| Shared benchmarks | Google-Proof Q&A leader | 1 shared |
Decision tradeoffs
- DeepSeek V3.2 holds a shared-benchmark lead on Google-Proof Q&A, ahead by 1.2 points.
- DeepSeek V3.2 has the lower cheapest tracked output price at $0.38/1M tokens.
- DeepSeek V3.2 has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags DeepSeek V3.2 for Coding, RAG, and Agents.
- Gemini 2.5 Flash has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini 2.5 Flash uniquely exposes Vision, Multimodal, and JSON / Tool use in local model data.
- Local decision data tags Gemini 2.5 Flash for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
DeepSeek V3.2
$296
Cheapest tracked route/tier: OpenRouter
Gemini 2.5 Flash
$865
Cheapest tracked route/tier: Google AI Studio
Estimated monthly gap: $569. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- Gemini 2.5 Flash is $2.12/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Gemini 2.5 Flash adds Vision, Multimodal, and JSON / Tool use in local capability data.
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- DeepSeek V3.2 is $2.12/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and JSON / Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-01 | 2025-06-17 |
| Context window | 160k | 1m |
| Parameters | 671B | — |
| Architecture | Decoder Only | Decoder Only |
| License | MITOSI-approved | Proprietary |
| Openness | Open source | Proprietary |
| Weights | Unknown | Not released |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: conditional |
| Knowledge cutoff | - | 2025-01 |
Pricing and availability
| Pricing attribute | DeepSeek V3.2 | Gemini 2.5 Flash |
|---|---|---|
| Input price | $0.25/1M tokens | $0.30/1M tokens |
| Output price | $0.38/1M tokens | $2.50/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V3.2 | Gemini 2.5 Flash |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| JSON / Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | Yes |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | DeepSeek V3.2 | Gemini 2.5 Flash |
|---|---|---|
| Google-Proof Q&A | 84.0 | 82.8 |
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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.